Bo (Larry) Lan
Bo (Larry) Lan is a Ph.D. candidate in Supply Chain Management (SCM) at Ivy College of Business, Iowa State University. His research focuses on leveraging his expertise in optimization techniques to improve the efficiency of SCM especially in transportation. Incorporating new technologies (e.g. drones and electrical vehicles) into the traditional vehicle routing problems (VRP) to generate environmentally friendly and cost-saving transportation schedules is attractive to Larry. He is also interested in developing more enhanced metaheuristics to solve NP-hard VRP problems. He has published one paper in the International Journal of Production Economics and still working on several other projects.
Before entering the doctoral program, Larry earned a Bachelor of Science in Physics and a Bachelor of Economics in Business Administration. He has more than 10 years of working experience in the industry of SCM in some global leading fast-moving consumer goods (FMCG) companies and 3PL.
Larry has taught a senior level undergraduate course (‘Decision Tools for Logistics and Operations Management’- SCM 460) for two semesters and received good evaluations from students. His teaching interests are SCM courses especially related to quantitative methods.
Aslan Lotfi is a PhD candidate in Management Information Systems at Ivy College of Business. Falling under the broad realm of predictive analytics and modeling, Aslan’s research studies the diffusion of a behavior in a target population and factors influencing individuals to commit the behavior. For instance, a behavior of interest can be actively searching online environments for information about a new information technology product or making initial and repeat product purchase decisions. He studies the digital attribution problem related to factors influencing the diffusion of a behavior and seeks to determine the effect of advertisement from different digital marketing channels on potential customers’ product adoption decisions. Aslan has a manuscript under revision for third round of review in Marketing Science, and several more research projects in various stages of preparation.
Aslan is also passionate about teaching a variety of technical and managerial topics. He has taught MIS 301, an introductory management information systems course required for all business majors and served as a teaching assistant for MIS 320, a course in database management systems.
Aslan has the experience of implementing academic research to benefit practice as well. He has collaborated with the data science team of a well-known video game company on multiple data analytics projects.
Research interests: Business Analytics, Digital Attribution, Diffusion of Technological Innovations, Applications of Fractional Calculus in Business Research
Teaching interests: Business Analytics, Data Mining/Machine Learning, Database Management, Managerial Statistics, Programming, Introductory and Core Information Systems Courses
Amin Rostami is a doctoral candidate in marketing at Ivy College of Business, Iowa State University. His research areas align with his interests in professional selling domain and his love for technology. These interests specifically converge around sales management, sales technology, social media, and salesforce integrity. Amin has an article accepted for publication in the Journal of Business Research. He also co-authored two other articles, one currently under review by Industrial Marketing Management, and another is under second-round of review by the Journal of Business and Industrial Marketing. He was awarded the Graduate College Research Excellence Award and Rama and Sridhar Ramaswami Marketing Research Excellence Award by the Iowa State University for his research productivity. Prior to entering the Ph.D. program, Amin received his M.S. in Marketing from IKIU University and B.S. in Mechanical Engineering.
Amin has taught Sales Management and Principles of Marketing courses and served as teaching assistant for a variety of courses. His teaching interests are professional Selling, Sales Management, Marketing Analytics, and Social Media Marketing.